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February 25, 2026
Gautam.Lx · sovereign AI for Bharat

Gautam.Lx

भारत-केंद्रित कृत्रिम बुद्धिमत्ता
120B multilingual mixture-of-experts
sovereign AI · built for 1.4 billion
120B total params
20B active/forward
5.8T tokens
32 experts
22 languages

⚛️ 1. Abstract

Gautam.Lx is a 120 billion parameter sparse Mixture‑of‑Experts (MoE) transformer optimized for multilingual reasoning, long‑context understanding (up to 256K tokens), and domain‑specific intelligence tailored to Bharat’s linguistic, legal, and socio‑economic landscape. The model is trained on a 5.8T token corpus and implements constitutional alignment for transparent, sovereign deployment.

🎯 2. Motivation & scope

  • Strategic need for sovereign AI infrastructure independent of frontier LLM dependencies.
  • Address gaps in global models for Indian languages, legal/policy nuances, and informal economy knowledge.
  • Curated 5.8 trillion token dataset — 60% Indic content (22 scheduled languages + dialects) and 40% global STEM/domain corpora.
  • Hybrid alignment: supervised fine‑tuning + reinforcement learning from human feedback (RLHF) with India‑centric preference sets.

🧠 3. Model architecture

Transformer core

P(x) = ∏_{t=1}^{n} P(x_t | x<t)

Attention mechanism

Attention(Q,K,V) = softmax(QKᵀ / √d_k) V

Mixture‑of‑Experts (MoE)

y = Σi=1}^{32} g_i(x) · E_i(x)    (top‑2 gating)
  • 32 experts, top‑2 activation — efficient scaling with 120B parameters but only ≈20B active per forward pass.
  • Expert capacity for 22 major Indian languages and specialised domains (legal, agriculture, MSME).
  • Rotary positional embeddings (RoPE) extended to 256K context window.

📊 4. Training corpus & infrastructure

5.8T tokens
2048 H100 GPUs
256K ctx length
ZeRO‑3 + Megatron

Data composition: Indian legal corpus (high court judgments, statutes), multilingual web (Bharat‑centric), academic literature, MSME financial records, agriculture extension materials, and parliamentary proceedings. De‑duplicated and privacy‑filtered.

LLM = – Σ log P(xt | x<t)
130 days pre‑training + 45 days alignment 3.8 MFU

⚖️ 5. Alignment & governance

  • Supervised fine‑tuning on 1.5M instruction‑response pairs (English + 12 Indic languages).
  • RLHF using human preferences from diverse demographics across Bharat.
  • Constitutional AI principles — model self‑critique and revision grounded in the Indian constitution and digital rights framework.
  • Bias audits and transparency logs released periodically; red‑teaming exercises with academic partners.
  • Robust watermarking and prompt filtering to deter misuse.

🚀 6. Deployment & inference

  • Cloud API (serverless and dedicated endpoints).
  • On‑premise enterprise (air‑gapped, compliance ready).
  • Edge‑optimised variant via 4‑bit GPTQ / AWQ quantization.
  • Speculative decoding + KV caching for low‑latency generation.
  • LoRA adapters for rapid domain customisation (legal, finance, governance).

🔬 7. Future research

  • Mechanistic interpretability of expert specialisation and multilingual circuits.
  • Neuro‑symbolic reasoning — integration with rule‑based systems for verifiable inference.
  • Self‑reflection loops and multi‑step deliberation (inference‑time search).
  • Continual learning without catastrophic forgetting (elastic weight consolidation).
  • Agentic ecosystems for assisted governance, education, and public service delivery.

🧑‍💻 8. Core team & advisors

Vishal Gautam

Founder, Chief Scientist

Dr. Ananya Sharma

Head of Alignment

Prof. Rajan Iyer

Advisor (linguistics)

Neha Gupta

Engineering lead

📬 9. Get in touch

Request early access, technical whitepaper, or partnership discussion.

contact@gautam.ai /gautam-lx technical brief v1.0
2026 Gautam AI Research & Development Solutions (GAIRDS)
Sovereign AI for 1.4 billion minds · भारत-केंद्रित कृत्रिम बुद्धिमत्ता
v2.0 · model release: december 2026 · technical report · #sovereignAI
Gautam AI International Pvt. Ltd. - INDIA

Posted by Gautam AI International Pvt. Ltd. - INDIA